Remove the 20-step execution limit that was causing "max steps exceeded" errors for long-running tasks. Increase the default max_steps to 999999 in all configurations, effectively removing the practical limit while maintaining the safety mechanism.
Changes:
- runtime/task.py: TaskRunnerConfig.max_steps 20 → 999999
- agents/collab_runner.py: CollaborativeTaskRunnerConfig.max_steps 20 → 999999
- storage/device_config.py: DEFAULT_MAX_STEPS 20 → 999999
Fixes issue 3: the host-agent console showed OCR results but never real
UI-tree data, because _ui_tree_nodes() checked for a get_ui_tree/ui_tree
tool action that has never existed anywhere in the codebase.
- storage/timeline.py: add a ui_tree_results field to TimelineRecord and
Timeline.append(), mirroring the existing ocr_results field.
- runtime/task.py: _append_timeline() now extracts scene.elements with
source == "ui" into ui_tree_results (scene_builder.build_scene() already
preserved these; they were just never persisted).
- host_agent/web/app.py: _ui_tree_nodes() reads the new field directly
instead of the dead tool-action check. New _overlay_payload() exposes
each step's scene dimensions and fused element list for client-side
rendering.
- task_detail.html: adds a toggle to overlay OCR (orange) and UI-tree
(blue) bounding boxes on the before-action screenshot, plus a visual
marker for the actually executed action (tap circle, or an animated
swipe path) using an SVG viewBox so no manual coordinate-scaling JS is
needed. Legacy/incomplete records degrade to no overlay, never an error.
Also corrects openspec/specs/runtime-task-evidence and
host-agent-console-task-pages, which had encoded the same nonexistent-tool
assumption, via the new host-agent-console-visual-evidence change.
600 tests passing; ruff/compileall/openspec validate all clean.
Documents Skill Management in CLOUD_DEPLOYMENT.md (cloud-skill store,
per-host entitlement, incremental sync, local authoring/override,
inventory report, skills:admin scope) and applies ruff check/format to
all touched modules. All tasks complete; full non-integration suite
green (593 passed) and openspec validate --strict passes.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds CloudApiSkillClient (Cloud API per-host sync endpoint + inventory
report), forwards since_version for incremental sync (full-replace on
first/stale), and forks a local override into a standalone local skill
when its cloud skill is revoked (design D9). Skill-side tests green (87
passed).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Opens the skill-management-console openspec change (cloud/local skill split
with local override) with proposal, design (D1-D11), four delta specs, and
tasks. Implements the agent-side persistent local skill store
(storage/local_skills.py): authored local skills + cloud-skill overrides in
a physically separate SQLite file, with fork-on-revocation. 10 tests pass.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Host Agent now persists step-level execution detail locally (via a real
TaskMetadataStore/Timeline wired into TaskRunner) and reports a bounded
in-progress snapshot piggybacked on lease renewal. Cloud persists that
snapshot per active assignment and exposes it through the existing task
list/detail query path; Cloud Console renders it as a live badge. Host
Agent's local console gains authenticated, read-only task list and
detail/timeline pages (same-origin, server-rendered) with inlined
screenshots.
Also fixes a pre-existing gap in the shared Timeline: the actual
per-step LLM prompt is now recorded instead of the task goal, benefiting
both Runtime and Host Agent consoles. When a host uses the cloud planner
transport, each decide call's prompt and resulting tool decision are
durably logged in a new planner_decision_log table (with bounded
retention) and browsable from Cloud Console; direct-transport hosts
explicitly surface a "not reported" state.
Includes Alembic migrations 0008 (progress columns on scheduled_tasks)
and 0009 (planner_decision_log), bounded Host-Agent-local retention,
dual-backend repository parity, and Vitest + pytest coverage. Task 6.5
(manual end-to-end device verification) remains.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Consumes the external Subscription Platform as source of truth for skill
content; reuses skills_learning domain models (extended with KnowledgeSkill)
and workflow.skill_exec resolver. HTTP/MCP deps land in api/ per
CONSTITUTION.md; synced skills use a physically separate SQLite file
(tasks/skills.sqlite3) to preserve the skill-authoring capability boundary.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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